Toward the Development of a Through-The-Road Solar Hybridized Vehicle

Arsie, Ivan; D'Agostino, Mario; Naddeo, Massimo; Rizzo, Gianfranco; Sorrentino, Marco

doi:10.3182/20130904-4-jp-2042.00157

Cited by 12 publications

(5 citation statements)

References 6 publications

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“…Preliminary studies have confirmed that fuel consumption can be improved with respect to the presented results by adopting such strategy. Anyway, some issues related to the implementability of this solution within the hybridisation strategy are in course (Arsie et al, 2013).…”

Section: Resultsmentioning

confidence: 99%

Numerical analysis of the benefits achievable by after-market mild hybridisation of conventional cars

Rizzo

Sorrentino

Arsie

2014

IJPT

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It is worldwide recognised how hybrid electric vehicle (HEV) currently represents a key technology to reduce automotive fuel consumption and related emissions. Nevertheless, since HEV market share is still insufficient to produce a significant impact on global energy consumption, also due to the recent global financial crisis, a substantial replacement of conventional vehicles is unlikely to occur in a short time. Therefore, a solution is proposed in this paper, consisting of a kit for after-market mild solar hybridisation of conventional vehicles. The mild hybridisation is obtained by replacing original rear wheels by in-wheel motors, on one hand, and, on the other, by adding a photovoltaic (PV) panel, a second battery pack and a dedicated control unit. The substantial benefits obtainable in terms of fuel consumption are evaluated by running a numerical analysis on different kit designs and original conventional cars converted via the kit.

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Section: Resultsmentioning

confidence: 99%

Numerical analysis of the benefits achievable by after-market mild hybridisation of conventional cars

Rizzo

Sorrentino

Arsie

2014

IJPT

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“…In this paper, the HySolarKit (HSK, see Figure 5) developed by the E-Prob Lab of the University of Salerno (Italy) has been considered. e technology is an aftermarket mild hybridization kit based on the idea that conventional vehicles may be upgraded to hybrid vehicles by means of the electrification of the rear wheels in front-wheel-drive vehicles, adopting in-wheel motors plug-in HEVs [17,18,20,21]. Concerning the battery, it may be recharged in three alternative ways: by the rear wheels when operating in generation mode, by photovoltaic panels, or by a regular electric power outlet when the vehicle is connected to the power grid in plug-in mode [19].…”

Section: Appendixmentioning

confidence: 99%

“…erefore, Latent variables Hybrid Choice Models (HCMs) have been adopted in several cases, and in particular, they have been applied to capture the individual attributes, such as attitudes and habit influencing: the mode choice [3][4][5][6][7][8][9][10], the residential location choice [11,12], the route choice decision making [13][14][15], and the vehicles choice (see Section 2). e present paper, starting from some preliminary results proposed in de Luca and Di Pace [16]; aims to investigate the role of attitudinal factors in the choice of a new automotive technology, the HySolarKit, which aims to electrify/hybridize existing vehicles through an after-market kit which can be recharged by the grid, as well as by solar power [17][18][19][20][21].…”

Section: Introduction and Motivationsmentioning

confidence: 99%

Did Attitudes Interpret and Predict “Better” Choice Behaviour towards Innovative and Greener Automotive Technologies? A Hybrid Choice Modelling Approach

Luca

Pace

2020

Journal of Advanced Transportation

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It is common opinion that traditional approaches used to interpret and model users’ choice behaviour in innovative contexts may lead to neglecting numerous nonquantitative factors that may affect users’ perceptions and behaviours. Indeed, psychological factors, such as attitudes, concerns, and perceptions may play a significant role which should be explicitly modelled. By contrast, collecting psychological factors could be a time and cost consuming activity, and furthermore, real-world applications must rely on theoretical paradigms which are able to easily predict choice/market fractions. The present paper aims to investigate the above-mentioned issues with respect to an innovative automotive technology based on the after-market hybridization of internal combustion engine vehicles. In particular, three main research questions are addressed: (i) whether and how users’ characteristics and attitudes may affect users’ behaviour with respect to new technological (automotive) scenarios (e.g., after-market hybridization kit); (ii) how to better “grasp” users’ attitudes/concerns/perceptions and, in particular, which is the most effective surveying approach to observe users’ attitudes; (iii) to what extent the probability of choosing a new automotive technology is sensitive to attitudes/concerns changes. The choice to install/not install the innovative technology was modelled through a hybrid choice model with latent variables (HCMs), starting from a stated preferences survey in which attitudes were investigated using different types of questioning approaches: direct questioning, indirect questioning, or both approaches. Finally, a comparison with a traditional binomial logit model and a sensitivity analysis was carried out with respect to the instrumental attributes and the attitudes. Obtained results indicate that attitudes are significant in interpreting and predicting users’ behaviour towards the investigated technology and the HCM makes it possible to easily embed psychological factors into a random utility model/framework. Moreover, the explicit simulation of the attitudes allows for a better prediction of users’ choice with respect to the Logit formulation and points out that users’ behaviour may be significantly affected by acting on users’ attitudes.

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“…Real-time models can detect active gear and neutral gear conditions without using additional sensors and using only low-frequency OBD data. Studies show that the solar hybridization technology has good potential to be adopted by users [13]- [17].…”

Section: Introductionmentioning

confidence: 99%

Design and simulation of a TTRH-EV supervisory controller for a proton SAGA 1.3

Anbaran,

Idris,

Aziz

et al. 2023

IJPEDS

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This paper presents modeling and control design steps towards the vehicle hybridization process. The objectives are: a) to model a retrofitted proton SAGA, which is a through-the-road HEV; and b) to design and implement a supervisory control unit for this vehicle. The electric powertrain components required for conversion are sized using the ADVISOR software package. Physical models of both powertrains were modeled using the MATLAB Simscape toolbox and validated for their fidelity. A supervisory controller design and implementation for retrofitted TTRH-EV SAGA is based on the BSFC map and OOL of the engine. The control objective is to restrict engine operation within its optimum window. The controller was implemented using the MATLAB Stateflow toolbox. The complete model of the retrofitted TTRH-EV SAGA, together with the supervisory controller, was tested using standard drive cycles, and the results are presented.

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Toward the Development of a Through-The-Road Solar Hybridized Vehicle

Cited by 12 publications

References 6 publications

Numerical analysis of the benefits achievable by after-market mild hybridisation of conventional cars

Numerical analysis of the benefits achievable by after-market mild hybridisation of conventional cars

Did Attitudes Interpret and Predict “Better” Choice Behaviour towards Innovative and Greener Automotive Technologies? A Hybrid Choice Modelling Approach

Design and simulation of a TTRH-EV supervisory controller for a proton SAGA 1.3

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